Minimalist Character Identification
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This is called "dimensionality reduction". Dimensionality reduction is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data. The fact that we live in a 3D world causes problems when we add more and more dimensions to our data, so reducing the number of dimensions helps us (and computers) process things more quickly!
You can learn more about how dimensionality reduction is used in Machine Learning here.
Last modified: Wednesday, 28 June 2023, 1:43 PM